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Podcast: Machine Learning Guide
Episode:

8. Math
Category: Technology
Duration: 00:27:24
Publish Date: 2017-02-22 23:00:00
Description:

Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus.

## Resources Come back here after you've finished Ng's course; or learn these resources in tandem with ML (say 1 day a week).

Primers (PDFs) - See "Section Notes" of cs229 (http://cs229.stanford.edu/materials.html) `handout:medium`

KhanAcademy: - Either LinAlg (https://www.khanacademy.org/math/linear-algebra) `course:medium` OR Fast.ai (http://www.fast.ai/2017/07/17/num-lin-alg/) `course:medium` - Stats (https://www.khanacademy.org/math/statistics-probability) `course:medium` - Calc (https://www.khanacademy.org/math/calculus-home) `course:medium`

Books - Linear Algebra Done Right (http://amzn.to/2t28p8F) `book:hard` - All of statistics (http://amzn.to/2t2dOwg) `book:hard` - Calculus (http://amzn.to/2tXfXhp) `book:hard`

Audio (supplementary material) - Statistics (https://projects.iq.harvard.edu/stat110/youtube) `audio|course:hard` - Calculus 1 (https://goo.gl/fcLP3l) 2 (https://goo.gl/sBpljN) 3 (https://goo.gl/8Hdwuh) `course|audio:hard` - Mathematical Decision Making (https://goo.gl/V75I49) `audio|course:hard` course on "Operations Research", similar to ML - Information Theory (http://www.thegreatcourses.com/courses/the-science-of-information-from-language-to-black-holes.html) `course|audio:hard` - Convert video to audio: ** mp4 => mp3: `for f in *.mp4; do ffmpeg -i "$f" "${f%.mp4}.mp3" && rm "$f"; done` ** youtube => mp3: setup youtube-dl (https://github.com/rg3/youtube-dl) and run `youtube-dl -x youtube.com/playlist?list=`

## Episode - Linear Algebra = Matrix (or "Tensor") math. Wx + b. Chopping in our analogy. - Stats = Probability/inference, the heart of machine learning. Recipes/cookbook. - Calculus = Learning. Moving our error dot to the bottom of the valley. Baking, the actual "cook" step.
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